What we did
We found a way to compare the positive cases in each state through a common ground by accounting for population size.
How we built it
We took the supplied COVID-19 data and cross-referenced it with the US state population density from the 2010 Census. We used Kaggle to work collaboratively and develop our visualizations.
What we learned
We learned a lot about accessing data frames in Python, along with how to calculate and add our own columns!
Challenges
We found that a few of the states reported a negative change in positive tests even though the data was labeled as cumulative.
What's next for COIVD-19 Infection Rate by Density
If we had more time we would analyze a larger section of states as well as use statistical tests to determine if these findings are significant.
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